The FDA today floated some ideas on how it might regulate medical devices armed with artificial intelligence — also known as software-as-a-medical-device (SaMD) — whose algorithms can change based on machine learning (ML) and possibly affect people in ways for which they were not approved or cleared. It is also asking for the public’s feedback.
To date, the agency has cleared or approved AI/ML-assisted devices whose algorithms have typically been locked before hitting the market. The FDA’s 20-page discussion paper includes a proposed regulatory framework for devices that have algorithms that can learn and change after the devices have been sold.
At DeviceTalks Boston, Tyler Shultz will give attendees an inside look at Theranos and how he was able to sound the alarm after he realized the company was falling apart. Shultz will take attendees behind the story that everyone is talking about: the rise and fall of Elizabeth Holmes and her diagnostic company, Theranos.
Join Shultz and 1,000+ medical device professionals at the 8th annual DeviceTalks Boston.